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All Journal DINAMIKA Jurnal Ilmiah Teknik Mesin Jurnal Rekayasa Mesin JIEET (Journal of Information Engineering and Educational Technology) Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Journal of Energy and Electrical Engineering (JEEE) Fokus Elektroda: Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Journal La Multiapp JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Journal of Religious and Socio-Cultural Jurnal Polimesin The Indonesian Journal of Computer Science
Purnomo, Wahyudi
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Religion Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Other

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Journal : The Indonesian Journal of Computer Science

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Simulasi Monitoring Automatic Dosing Sistem pada Mesin Vending Kopi Tubruk pada Kopi Wonosobo Purnomo, Wahyudi; Adhie Candra, Wahyu; Alfaizi, Muhammad Firdaus
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4133

Abstract

This study proposes an IoT-based system to automate and monitor the Wonosobo coffee-making process. The traditional method, involving manual mixing of coffee and sugar, often yields inconsistent results. The new system, accessible via a smartphone app, aims to improve consistency and quality by replacing human intervention with an automatic filling system. It provides real-time updates and alerts users to dosage discrepancies. The end product is a coffee vending machine with a built-in monitoring system, enhancing efficiency and allowing users to oversee the process remotely. This innovation contributes significantly to the automation technology in the coffee industry.
Co-Authors Akimas, Handreas Sudarmiko Alfaizi, Muhammad Firdaus Andriyanto, Yoseph Arrizik, Muhammad Zidan Dwiartomo, Bolo Fitria Suryatini Gamanoza, Naufal hadiani, dini Hendy Rudiansyah Indrajaya, Nathan Muhammad Fikri Nuryanti Nuryanti R. Harlanti, Raiany Ramadan, Yoni Sabda Ridwan, Ridwan Ruswandi, Ayi Sandy Bhawana Mulia, Sandy Bhawana Steven Phang SUBEKTI, RUMINTO tanasyah, yusak Tryantama, Naufal Wahyu Adhie Candra Yuliadi Erdani, Yuliadi